Temperature-plus-Landscape Integrity Climate Gradient Corridors

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Washington Wildlife Habitat Connectivity Working Group (WHCWG)

Publication_Date: 20130507

Title: Temperature-plus-Landscape Integrity Climate Gradient Corridors

Geospatial_Data_Presentation_Form: raster digital data

Description:

Abstract:

These data represent a composite of four normalized least-cost corridor mosaics (see WHCWG 2010 and McRae & Kavanagh 2011) calculated using temperature gradients and a landscape integrity resistance raster following the climate-gradient linkage-modeling methods outlined in Nuñez et al. (2013). It was produced using the software tool Climate Linkage Mapper (Kavanagh et al. 2012). The dataset was produced by Washington Wildlife Habitat Connectivity Working Group (WHCWG) as part of their Columbia Plateau Climate-Gradient Corridors Analysis (WHCWG 2013).Climate Linkage Mapper Inputs and Options:Core Layer – Columbia Plateau Landscape Integrity (LI) Cores (see WHCWG 2012)Climate Layer – Mean annual temperature (MAT) raster (see WHCWG 2013)Resistance Raster - For temperature and LI the model was run four times using each of the following LI resistance layers (for more details on these layers see WHCWG (2012)):Linear resistanceMin resistanceMed resistanceMax resistanceGRASS GIS Version – Version 7 was usedMin Euclidean distance between cores – 2,000 m (2 km)Max Euclidean distance between cores – 50,000 m (50 km)Climate Threshold – 1 degree CelsiusClimate Cost – 50,000 (50 km)Prune network – TrueMaximum number of nearest neighbors - 3Method to calculate nearest neighbor – Cost weightedKeep constellations – TrueThe Mean annual temperature raster was derived from 1971-2000 PRISIM data (Daly et al. 2002) downscaled using ClimateWNA (Wang et al. 2012).Additional information about the study region, including focal species and landscape integrity connectivity analyses, can be found in the WHCWG Analysis of the Columbia Plateau Ecoregion (2012).References:Daly. C., Gibson. W.P., Taylor, G.H., Johnson, G.L., Pasteris, P. 2002. A knowledge-based approach to the statistical mapping of climate. Climate Research, 22:99-113. See <http://www.prism.oregonstate.edu.Kavanagh>, D.M., T.A. Nuñez, and B.H. McRae. 2012. Climate Linkage Mapper Connectivity Analysis Software. Adze Informatics, Seattle WA. Available at: www.circuitscape.org/linkagemapper.McRae, B.H. and D.M. Kavanagh. 2011. Linkage Mapper Connectivity Analysis Software. The Nature Conservancy, Seattle WA. Available at: <http://code.google.com/p/linkage-mapper/.Nuñez>, T.A., J.J. Lawler, B.H. McRae, D.J. Pierce, M.B. Krosby, D.M. Kavanagh, P.H. Singleton, and J.J. Tewksbury. 2013. Connectivity planning to address climate change. Conservation Biology.Wang, T., Hamann, A., Spittlehouse, D., and Murdock, T. N. 2012. ClimateWNA - High-Resolution Spatial Climate Data for Western North America. Journal of Applied Meteorology and Climatology 61: 16-29. See <http://www.genetics.forestry.ubc.ca/cfcg/ClimateWNA/ClimateWNA.html>. Washington Wildlife Habitat Connectivity Working Group (WHCWG). 2010. Washington Connected Landscapes Project: Statewide Analysis. Washington Departments of Fish and Wildlife, and Transportation, Olympia, Washington.Washington Wildlife Habitat Connectivity Working Group (WHCWG). 2012. Washington Connected Landscapes Project: Analysis of the Columbia Plateau Ecoregion. Washington’s Department of Fish and Wildlife, and Department of Transportation, Olympia, WA. See <http://www.waconnected.org.Washington> Wildlife Habitat Connectivity Working Group (WHCWG). 2013. Washington Connected Landscapes Project: Columbia Plateau Climate-Gradient Corridors Analysis. Washington Departments of Fish and Wildlife, and Transportation, Olympia, WA. See <http://www.waconnected.org>.

Purpose:

The purpose of layers created using the climate-gradient linkage-modeling method (Nuñez et al. 2013) is to help inform conservation practitioners, land use planners, and interested stakeholders in their understanding of areas likely to be important for biota as species adapt their distributions to climatic change. The results using this method are intended to be broad-scale and generic in nature, and are not intended to guide specific, local-scale conservation actions (e.g., parcel acquisition). The purpose of this specific layer, which is based on both temperature gradients and human land use patterns (landscape integrity), is to illustrate routes on the landscape between landscape integrity core areas that provide for unidirectional change in mean annual temperature between the core areas while avoiding areas of low landscape integrity (e.g., agricultural, urban, or transportation land use areas).

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 19710101

Ending_Date: 20000101

Currentness_Reference: The time period for the tempeature data is 1971-2000.

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -121.861001

East_Bounding_Coordinate: -115.403665

North_Bounding_Coordinate: 49.004052

South_Bounding_Coordinate: 44.496779

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: landscape integrity

Theme_Keyword: connectivity

Theme_Keyword: corridor

Theme_Keyword: climate

Theme_Keyword: temperature

Theme_Keyword: gradient

Theme_Keyword: conservation

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Categories

Theme_Keyword: biota

Theme_Keyword: environment

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Columbia Plateau

Place_Keyword: Washington

Place_Keyword: Oregon

Place_Keyword: Idaho

Place_Keyword: USA

Access_Constraints: None

Use_Constraints:

DATA BACKGROUND: The Washington Wildlife Habitat Connectivity Working Group (WHCWG) produced these data which represent a regional analysis that portrays conditions at a regional scale. Applying these data at finer, more local scales is likely to increase uncertainty in terms of accuracy and applicability for local land use decisions. However, for the scale at which they were developed, these products are state-of-the-art, peer-reviewed representations of landscape variables and connected habitat networks. The WHCWG expended great effort to compile the best GIS data within constraints imposed by data development costs, available compilation sources, and available staff resources. Inherent in any dataset used to develop graphical representations, are limitations of accuracy as determined by, among others, the source, scale and resolution of the data. The products and data from this analysis convey a wealth of information relevant to conservation of Washington's wildlife and though they represent the state of the art, they rely on imperfect data, knowledge, and assumptions. We strongly suggest that readers thoroughly understand our methods and the limitations of those methods prior to applying our results. The data user should note Chapter 2 and appendices in the WHCWG Columbia Plateau report. See metadata Credits for the report. SOURCE DATA YEAR: The GIS base layers input to linkage modeling were developed from a wide variety of sources compiled over the years generally from 1999 to 2010. We would like to specify a GIS base layer compilation year for users of the connectivity data; however, the wide range of base layer compilation dates complicates such a specification. For example, land cover / land use, a major base layer, was mapped from Landsat imagery acquired from 1999 to 2003. This layer was subsequently modified by the WHCWG Columbia Plateau Ecoregion project using land cover / land use sources as recent as 2010. Likewise, transportation data were primarily obtained from the 2010 Census TIGER roads and housing density data were generated from the 2000 Census dataset. The data user should be aware that some areas experiencing rapid change over the last decade may not be captured in the modeling effort. APPROPRIATE SCALE OF USE: The raw GIS data obtained by the WHCWG Columbia Plateau project were compiled from a wide range of compilation source scales. The GIS data were post-processed at a 30 m x 30 m cell size (except housing density which had a native cell size of 100 m x 100 m). These data were compiled to 90 m x 90 m cell size prior to connectivity modeling. Given the wide ranging source scales and post-processing we do not recommend application of linkage data at scales larger than 1:100,000.

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:

Spatial Data Management Unit, Wildlife Program, Washington State Department of Fish and Wildlife

Contact_Person: Spatial Data Manager

Contact_Address:

Address_Type: mailing

Address: 600 Capitol Way North

City: Olympia

State_or_Province: Washington

Postal_Code: 98501-1091

Country: US

Contact_Voice_Telephone: (360) 902-2515

Contact_Facsimile_Telephone: (360) 902-2162

Contact_Electronic_Mail_Address: wildthing@dfw.wa.gov

Hours_of_Service: 8:00AM to 5:00PM PST Weekdays (except Holidays)

Contact_Instructions:

Contact the Washington State Department of Fish and Wildlife's Wildlife Management Program Customer service desk by one of the contact methods listed in this document (by telephone, fax, email, or regular mail) giving your name, phone number and email address.

Data_Set_Credit:

This layer has been prepared by the Washington Wildlife Habitat Connectivity Working Group (WHCWG) Climate Change Subgroup: Meade Krosby, lead (University of Washington); Lynn Helbrecht (Washington Department of Fish & Wildlife); Darren Kavanagh (University of Washington); Joshua Lawler (University of Washington); Guillaume Mauger (University of Washington); Brad McRae (The Nature Conservancy); John Pierce (Washington Department of Fish and Wildlife); and Peter Singleton (US Forest Service–Pacific Northwest Research Station). For complete information on the membership and activities of the WHCWG, visit <http://www.waconnected.org>.

Native_Data_Set_Environment:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.1.3143

Data_Quality_Information:

Logical_Consistency_Report: This data is conceptually consistent.

Completeness_Report:

This raster is identical to the raster used in the Columbia Plateau Climate Graident Analysis report (WHCWG 2013).

Lineage:

Process_Step:

Process_Description:

Generated using Climate Linkage Mapper. See metadata Description for tool inputs.

Process_Date: 20121201

Process_Time: 120000

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Grid Cell

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name: HabConnectProjectArea North America Albers Equal Area Conic

Albers_Conical_Equal_Area:

Standard_Parallel: 43.0

Standard_Parallel: 48.0

Longitude_of_Central_Meridian: -120.0

Latitude_of_Projection_Origin: 41.0

False_Easting: 700000.0

False_Northing: 0.0

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair

Coordinate_Representation:

Abscissa_Resolution: 0.0000000033997027415466626

Ordinate_Resolution: 0.0000000033997027415466626

Planar_Distance_Units: meter

Geodetic_Model:

Horizontal_Datum_Name: D North American 1983

Ellipsoid_Name: GRS 1980

Semi-major_Axis: 6378137.0

Denominator_of_Flattening_Ratio: 298.257222101

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: Temperature-plus-Landscape Integrity Climate Gradient Corridors

Entity_Type_Definition: Value Attribute Table

Entity_Type_Definition_Source: ESRI

Attribute:

Attribute_Label: OBJECTID

Attribute_Definition: Internal feature number.

Attribute_Definition_Source: Esri

Attribute_Domain_Values:

Unrepresentable_Domain:

Sequential unique whole numbers that are automatically generated.

Attribute:

Attribute_Label: Value

Attribute_Definition: Normalized cost-weighted distance value.

Attribute_Definition_Source: WHCWG

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 4

Range_Domain_Maximum: 400

Attribute:

Attribute_Label: Count

Attribute_Definition: Value count.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain: The number of cells where the value is present.

Metadata_Reference_Information:

Metadata_Date: 20130507

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Washington Wildlife Habitat Connectivity Working Group (WHCWG)

Contact_Address:

Address_Type: mailing

Address: 600 Capitol Way North

City: Olympia

State_or_Province: Washington

Postal_Code: 98501

Country: US

Contact_Voice_Telephone: (360) 902-2515

Contact_Electronic_Mail_Address: info@waconnected.org

Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time